Severe performance degradation under high transaction volumes
9/10 CriticalMongoDB exhibits non-linear performance degradation as data volume increases. Real-world cases show response times deteriorating from 5ms to over 1 second under load, and sharding provides only temporary relief while adding operational complexity. Query performance becomes unacceptable for high-throughput transactional applications.
Sources
Collection History
Performance Cliffs: Things work great until they don't. That collection with 10,000 documents performs fine until it hits 100,000 and then your server catches fire.
Based on documented production cases, organizations like SnapDeal experienced response time degradation from 5 milliseconds to over 1 second under load, ultimately requiring alternative database solutions. The incident highlighted MongoDB's fundamental scaling limitations: as data volume increased, query performance degraded exponentially rather than linearly.